Journal article 91 views
Adversarial malware sample generation method based on the prototype of deep learning detector
Yanchen Qiao 
,
Weizhe Zhang,
Zhicheng Tian,
Laurence T. Yang,
Yang Liu ,
Mamoun Alazab
,
Weizhe Zhang,
Zhicheng Tian,
Laurence T. Yang,
Yang Liu ,
Mamoun Alazab
Computers & Security, Volume: 119, Start page: 102762
Swansea University Author:
Yang Liu
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DOI (Published version): 10.1016/j.cose.2022.102762
Abstract
Adversarial malware sample generation method based on the prototype of deep learning detector
| Published in: | Computers & Security |
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| ISSN: | 0167-4048 |
| Published: |
Elsevier BV
2022
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| Online Access: |
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa67396 |
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| Keywords: |
Adversarial example; Deep learning; Model interpretability; Malware detection; Prototype |
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| College: |
Faculty of Science and Engineering |
| Funders: |
This work is supported by the Major Key Project of PCL (No. PCL2021A02), the Key-Area Research and Development Program of Guangdong Province (No. 2020B0101360001), and the National Natural Science Foundation of China (No. 62102202). |
| Start Page: |
102762 |